From 536dc256719a66543594eb50b491bfb159beaf55 Mon Sep 17 00:00:00 2001 From: Darius Morawiec Date: Sat, 19 Jan 2019 19:44:38 +0100 Subject: [PATCH] release/0.7.0: Change some wordings --- readme.md | 17 ++++++++++++----- 1 file changed, 12 insertions(+), 5 deletions(-) diff --git a/readme.md b/readme.md index b01b5f97..9075cc02 100644 --- a/readme.md +++ b/readme.md @@ -4,12 +4,12 @@ Transpile trained [scikit-learn](https://github.com/scikit-learn/scikit-learn) estimators to C, Java, JavaScript and others.
It's recommended for limited embedded systems and critical applications where performance matters most. -## Machine learning algorithms +## Estimators - + @@ -122,7 +122,12 @@ Transpile trained [scikit-learn](https://github.com/scikit-learn/scikit-learn) e - + + + + + + @@ -218,7 +223,8 @@ y_java = porter.predict(X[0]) y_java = porter.predict([1., 2., 3., 4.]) ``` -### Notebooks + +## Notebooks You can run and test all notebooks by starting a Jupyter notebook server locally: @@ -227,7 +233,8 @@ $ make open.examples $ make stop.examples ``` -## Command-line interface + +## CLI In general you can use the porter on the command line:
AlgorithmEstimator Programming language
RegressorJava *JSCGoPHPRuby
neural_network.MLPRegressor